IBM Watson IoT Platform Pricing & Demo

IBM Watson IoT Platform
Online
New York, USA
1911
$50BN to $100BN
95
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IBM Watson IoT Platform USP

IBM offers IBM Watson and IBM Bluemix solutions under its IoT Analytics Software. Organizations can make use of Watson IoT, which uses the Bluemix platform to analyze IoT data. Bluemix platform takes data from sensors and sensor-enabled devices and performs analytics on it. The platform makes use of Complex Event Processing (CEP) to analyze real-time streaming data for generating and determining patterns and create insights using business indexes and data streams. Watson AoT processes structured and unstructured data obtained from flat files, in-database, data warehouse, Hadoop, and spreadsheets (IBM SPSS Statistics, Excel files, CSV files, and SAS files). IBM also offers readymade IoT solutions enabling organizations implement it quickly. Request IBM Watson IoT Platform Pricing to get more information.

Summary

IBM advanced IoT applications include enterprise management, facilities management, and product development. IBM Watson AoT not only helps organizations with risk analysis and management, but also checks privacy and protects decentralized systems using blockchain capabilities. Clients can make use of IBM’s cloud deployment model to reduce operational costs and capital expenditure. IBM also offers the on-premises deployment model so that clients can maintain high-end security and avoid misuse of data.

IBM services include business consulting, technology services, financing, and training, and provides its AoT solutions to various types of end-users, such as application developers, business analysts, data scientists, and consultants. Hence, the company has robust delivery functionalities. Clients can also make use of pre-sales support which includes product demos, entitled system support, and support portal to resolve their queries and learn about the company’s products quickly. The type of support, i.e. on-site or remote, can be decided by the client depending upon the issue faced and cost to resolve it. The post-sales support of IBM includes technical support along with customer support and sales support.

360 Quadrants

Strengths and Weaknesses
  • +8 Business Applications
  • +7 Delivery
  • +6 Product Features and Functionality
  • +10 Batch Data Processing
  • +12 Directly
  • +11 Real-time Streaming Data Processing (Data-in-Motion)
  • +13 Through Partners / Third-Party Vendors
  • +6 Semi-Structured Data
  • +5 Structured Data
  • +7 Unstructured Data
  • +8 Hosted / On-Cloud
  • +7 On-Premise
  • +10 Descriptive Analytics
  • +11 Diagnostics Analytics
  • +12 Predictive Analytics
  • +13 Prescriptive Analytics
  • +9 Databases
  • +8 Microsoft Corporation Office (including Spreadsheet)
  • +11 On-Site Support
  • +7 Programming Language (such as R, Python, Java)
  • -5 Expensive
  • -14 Less frequentry update release
  • -13 More marketing efforts are required
  • -14 Lack of userfriendliness
  • -13 Unattractive Visualization
  • -12 Customer support is not up to the mark
  • -12 Product Variants
  • -13 Customer Redressal Mechanism/Program
  • -12 Level of Support
  • -11 Any other Integration type
  • -13 Any Other Data Preparation Features
  • -7 Other Data formats
  • -6 Other applications
  • -14 Deployment & Integration Services
  • -14 Other data
  • -11 Any Other Data Processing Features
  • -9 Other Data Analysis technology and methods
  • -10 Dedicated Account Manager (DAM)
  • -7 Abuse and Malfeasance Identification
  • -6 Others, please specify
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IBM Watson IoT Platform presence in IoT Analytics Software

IBM has been following the policy of helping organizations integrate their IT framework with cloud, to attain higher profitability from the market transitions. The Watson division serving the analytics needs of customers has helped IBM improve its offerings and enhance its market presence, as well. IBM caters to automotive, electronics, BFSI, manufacturing, and retail sectors to provide AoT solutions and services. The company’s viability depends on its global presence and increasing investments in R&D activities to innovate its products. The company has adopted a mixed strategic approach of product developments, partnerships, acquisitions, and collaborations to strengthen its presence in the AoT market. For instance, in June 2016, IBM collaborated with Cisco to provide instant IoT insights at the edge of the network. The collaboration helps combine IBM’s Watson IoT and Business Analytics (BA) technologies and Cisco’s edge analytics capabilities to offer a new way to produce immediate, actionable insights at the point of data collection. The combination of IBM and Cisco’s expertise and technologies serves as the foundation of Watson IoT cloud platform. The January 2016 acquisition of The Weather Company, which deals with weather forecasts, has helped IBM also make use of real-time weather data and link it to other sensor data to generate meaningful insights form it. In December 2015, IBM opened Watson IoT global headquarters in Munich, Germany to further strengthen its global presence. The company also opened its first office in Kuwait in April 2015 to expand its presence in the Middle Eastern region. The company launched a series of new offering capabilities and ecosystem partners to extend the power of cognitive computing to billions of connected devices, sensors. The company’s strategic channel partner system, comprising distributors, system integrators, VARs, consultants, Other Equipment Manufacturer (OEM), and managed service providers, helps customers increase their product adoption and use.


Top Features

  1. Product Features and Functionality / Data Analysis Technology and Methods
  2. Product Features and Functionality / Data Processing Features
  3. Product Features and Functionality / Type of Data
  4. Product Features and Functionality / Data Presentation Features
  5. Product Features and Functionality / Data Preparation Features
  6. Product Features and Functionality / Data Formats
  7. Product Features and Functionality / Data Analysis Techniques
  8. Product Features and Functionality / Data Coverage
  9. Product Features and Functionality / Data Processing Techniques
  10. Services Offered / Education & Training
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